A data warehouse is traditionally the go-to architecture for structured data. It’s optimized for analytics and reporting, providing high performance and reliability. In contrast, data lakes are ...

In the age of technology, healthcare is experiencing a digital transformation powered by advanced data analytics and predictive modeling. Hospitals and medical institutions are increasingly relying on ...

For decades, traditional data warehousing has been the backbone of healthcare analytics. These systems offered a structured ...

In the era of digital transformation, where data serves as the foundation for every major business decision, the role of ETL and data warehousing professionals has become more vital than ever. Among ...

scale-out architecture, along with its self-service consumption model, has made it a leader in the data warehouse industry's shift toward ’big data’ analytics. "Greenplum’s market-leading ...

Crunchy Data brings the power of Postgres-native Apache Iceberg to Kubernetes with the latest release of Crunchy Data Warehouse. Crunchy Data Warehouse extends Postgres to support high-performance ...

He has led and implemented many Data warehouse projects and has strong knowledge of Data Modeling, Data Integration, Data Federation, Data Architecture and Data Warehousing architectures.